Comments (4)
Nope,because the sizes of faces are different, this will cause several problems.
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There's no easy way to do so with the current code.
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Based on your original reference image, Face Swap may not be right.
What you need is a pipeline of different models similar to this:
object extraction → **bg isolation → edge refinement** → coordinate transformation of the feature points → global pixel normalization (artifact removal)
Very interesting and easy to use work!
I was wondering, is there any ways not to transform the reference face? I'm simply looking for a replacement of the original face with of course clean edges and colors. But no transformation in the original face.Is there a way to do it within the code?
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Related Issues (20)
- Speed Up HOT 1
- Is there any Tutorial Available? Kindly provide link please! HOT 1
- Issue: setup the project. HOT 5
- Can this be used in another project? HOT 1
- Personal uses? HOT 1
- Future work? HOT 2
- Videos with multiple faces HOT 3
- TypeError: Invalid index type HOT 5
- IndexError: index 185 is out of bounds for axis 0 with size 185 HOT 1
- Asian-celeb dataset download link
- error HOT 2
- swap video error HOT 3
- the swapped face does not scale proportionally when the size of two faces vary HOT 1
- How to use for loop to vist all file? HOT 3
- Documentation HOT 1
- Incompatible with newer versions of NumPy
- Please add LICENSE.txt file otherwise other people cannot use it HOT 1
- FileNotFoundError HOT 1
- Everything is right except the console info, is it necessary? HOT 1
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